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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

A/B testing isn’t simple just because data is big — the law of large numbers doesn’t take care of everything! Even with big data, A/B tests require thinking deeply and critically about whether or not the assumptions made match the data. 2015): 37-45. [3] Cambridge University Press, 2015. [6]